Design of English Learning Platform Based on Knowledge Management

2021 ◽  
Author(s):  
Lei Zhang
1970 ◽  
Vol 6 (2) ◽  
Author(s):  
Hugo Rego ◽  
Tiago Moreira ◽  
Francisco José García-Peñalvo

The main aim of the AHKME e-learning platform is to provide a system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in the platform, giving them meaning. In this platform, metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics, and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics, and teachers have the possibility of using quality educational contents to structure their courses. The learning objects management and evaluation play an important role in order to get the best results in the teaching/learning process.


2019 ◽  
Vol 29 (1) ◽  
pp. 167-193 ◽  
Author(s):  
Yu-Hsin Chen ◽  
Ching-Jui Keng

Purpose The purpose of this paper is to develop an extended Push-Pull-Mooring-Habit (PPMH) framework in order to better understand users’ intention of switching from offline to an online real-person English learning platform service. Design/methodology/approach Based on 301 valid responses collected from an online survey questionnaire, structural equation modeling was employed to examine the research model. Findings The causal model was validated using SmartPLS 3.0, and all study hypotheses were supported. The results show that push effects (learning convenience, service quality and perceived price), pull effects (e-learning motivation, perceived usefulness), mooring effects (learning engagement, switching cost and social presences) and habit effects (relationship inertia) all significantly influence users’ switching intentions from offline to an online real-person English learning platform. Practical implications The findings should help online English learning service providers and marketers to understand the intention of offline English learning users to switch to an online real-person English learning platform, and develop related theories, services and regulations. Originality/value The present study extends the prior research of an online real-person English learning platform by providing PPMH as the general framework and demonstrating its efficacy in explaining user switching intentions.


Author(s):  
Elisabeth Davenport ◽  
Katherine Taylor

The authors present the design and evaluation process for a prototype learning platform that can assist micro-organizations to work together in the interests of local or regional development. The prototype addresses important issues in knowledge management. These include ways in which the tacit knowledge of one group may be extended across other groups as a public good; the extent to which social learning may be 'engineered'...


Author(s):  
Hu Gao ◽  
Yanbin Ma ◽  
Peng Geng

With the popularity of English across the world, demands grow for English of daily use. By reviewing the English learning methods and its patterns at home and abroad, this paper conducted a major analysis on the status of English self-learning in China. On this basis, a computer network platform based English learning system was designed and realized by using software engineering approaches, whose development techniques are discussed subsequently. Finally, the performance and safety of the online English learning platform are tested. The test results show that the system is effective in improving students' ability to learn English by themselves.


2021 ◽  
Vol 9 (4) ◽  
pp. 496
Author(s):  
Woro Kusmaryani

This study aimed at exploring the use of computer technology and smartphone applications in the learning of English. A case study design using questionnaires and interview data was expected to reveal lecturers and students' perceptions comprehensively. The data obtained were analyzed with quantitative and qualitative data analysis in descriptive statistics and coding. This study indicated that computer technology and smartphone applications in learning English could smoothly run if the internet network was stable and there was a sufficient data quota. In its use, both lecturers and students needed to coordinate well regarding the English learning platform used. Both lecturers and students needed to prepare, implement structured learning, and pay attention to learning evaluation.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qianbo Li

With the economic development in our country, there are more and more international exchanges and communications. Hence, the ability to read, write, and communicate in English is essential and very necessary. In traditional English classroom teaching, teachers are the disseminators of knowledge, whereas students only receive knowledge passively. Due to the limitation of teaching hours and the lack of teaching approaches, it is necessary to make up for the insufficiency in the teaching activities through computer technology and multimedia technology. Abundant teaching approaches can cultivate the independent inquiry ability of students, and the establishment of such an English learning platform is conducive to improving the students’ ability to make full use of the information technology. Through teaching and learning, the students can become the main entity in the English teaching, which can stimulate their enthusiasm and form a good awareness for English learning. In this paper, the radial basis function (hereinafter referred to as RBF for short) algorithm is adopted. Combined with the constructive English teaching method, practical design and construction are carried out by analyzing the concepts, principles, and application strategies of smart classroom teaching in the multimedia background. The practice has proved that the method proposed in this paper is effective and has certain research value and positive significance for the research on English teaching.


2019 ◽  
Vol 17 (4) ◽  
pp. 21-35
Author(s):  
Zhonggen Yu

Studies on gender differences in mobile English learning are in their initial stages. College English IV, designed by a number of professors and engineers in a university in China, serves as a mobile English learning platform. This study aims to determine gender differences in cognitive loads, attitudes, and academic achievements in English language learning assisted with this mobile English learning platform. Through a mixed research design, 79 randomly selected participants join the research, together with interviews and posts to collect qualitative data. Cognitive loads, attitudes, and academic achievements are measured through related scales to collect quantitative data. It is concluded that there are significant gender differences in cognitive loads, attitudes, and academic achievements in English language learning assisted with the mobile learning platform. Future research on gender differences in mobile English learning should also examine relationships between gender differences, learner motivation, achievement goals, and learning outcomes.


Author(s):  
Fatima-Zohra Hibbi ◽  
Otman Abdoun ◽  
Haimoudi El Khatir

Knowledge management (KM) is one of the main factors that have become extremely popular in recent years. KM is the processes which people explain information data using scientific and technological media and summarize it into concepts and rules to generate knowledge. This later can be implicit or explicit one. The aim of this contribution is to convert the tacit knowledge into explicit using Metaheuristics techniques. This paper aims to develop a model for converting tacit knowledge into explicit knowledge, using the Metaheuristics algorithm for the E-learning platform. For that purpose, the knowledge conversion process will respect the following steps: define the source of tacit knowledge and their methods, classify the tacit knowledge, then we evaluate the implicit knowledge conversion.


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